Issues
- 0
Error in if (sum(weights[treat == tval1_0] > 0) < 1 || sum(weights[treat != : missing value where TRUE/FALSE needed
#64 opened by mitchellcameron123 - 2
a possible problem when offset is added?
#63 opened by zeynepbaskurt - 2
`method_user` and the example on the `KBAL`
#62 opened by BERENZ - 3
Difficulty fitting weights to glm model
#61 opened by kkwi5241 - 3
- 4
- 1
DAPSm weighting
#60 opened by barnabasharris - 1
- 3
WeightItMSM only "ATE"?
#57 opened by mkrasmus - 11
- 1
Vignette: `boot_data` missing
#46 opened by vincentarelbundock - 1
Sampling weights: to trim or not to trim
#55 opened by lorenzoFabbri - 1
- 2
possible issue
#47 opened by chumbleycode - 1
- 7
- 2
Multilevel data
#51 opened by lucasxteixeira - 1
Is this actually G-computation?
#50 opened by lorenzoFabbri - 1
Understanding `get_cont_weights`
#49 opened by lorenzoFabbri - 2
- 3
Multinomial ebal NA weights - can't investigate
#18 opened by andrewjmc - 1
Extract last reltol value from WeightIt run
#32 opened by cromer043 - 4
- 3
Understanding weights after stratification
#39 opened by etchin - 6
Exported weights when using s.weights
#41 opened by statzhero - 3
Add new weighting scheme to WeightIt
#45 opened by jyl19 - 2
Understanding weights
#35 opened by JoshSchramm94 - 1
Estimand default
#42 opened by statzhero - 2
weight.data
#43 opened by waynelapierre - 2
- 1
Error of love.plot and bal.tab with splines
#37 opened by markdanese - 2
- 2
Covergence problems with glm()
#31 opened by hjuerges - 2
Extracting propensity scores from weightthem objects with a continuous exposure
#30 opened by dannysack - 1
- 1
SL.ridge leads to no weights estimated
#26 opened by mleipzig - 4
Extremely slow queries
#27 opened by maellecoursonnais - 2
Inconsistent ATT weights
#29 opened by OtterCuber - 1
- 3
Error when weighting
#21 opened by statzhero - 2
- 2
- 4
Propensity scores for multinomial PS
#20 opened by andrewjmc - 1
Error in summary.weightit
#19 opened by andrewjmc - 2
sbps error
#17 opened by andrewjmc - 2
- 2
- 2
PSs are different if the covariates are specified in different orders on the right-hand side of the formula when method = "cbps"
#16 opened by danielebottigliengo - 1
Back to those multinomial propensity scores... (checking overlap/positivity assumption?)
#13 opened by hgerlovin - 0